Data Science and Machine Learning For Beginners with Python
What you'll learn
- Install Jupyter Notebook Server
- Create a new notebook
- Explore Components of Jupyter Notebook
- Understand Data Science Life Cycle
- Use Kaggle Data Sets
- Perform Probability Sampling
- Explore and use Tabular Data
- Explore Pandas DataFrame
- Manipulate Pandas DataFrame
- Perform Data Cleaning
- Perform Data Visualization
- Visualize Qualitative Data
- Explore Machine Learning Frameworks
- Understand Supervised Machine Learning
- Use machine learning to predict value of a house
- Use Scikit-Learn
- Load datasets
- Make Predictions using machine learning
- Understand Python Expressions and Statements
- Understand Python Data Types and how to cast data types
- Understand Python Variables and Data Structures
- Understand Python Conditional Flow and Functions
- Learn SQL with PostgreSQL
- Perform SQL CRUD Operations on PostgreSQL Database
- Filter and Sort Data using SQL
- Understand Big Data Terminologies.
Requirements
- No Prior experience is required.
- You'll need to install some software. We will show you how to do that step by step.
Description
Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information . Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development. Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.
Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it's flexibility. Python is used a lot in data science.
Machine learning relates to many different ideas, programming languages, frameworks. Machine learning is difficult to define in just a sentence or two. But essentially, machine learning is giving a computer the ability to write its own rules or algorithms and learn about new things, on its own. In this course, we'll explore some basic machine learning concepts and load data to make predictions.
We will also be using SQL to interact with data inside a PostgreSQL Database.
What you'll learn
Understand Data Science Life Cycle
Use Kaggle Data Sets
Perform Probability Sampling
Explore and use Tabular Data
Explore Pandas DataFrame
Manipulate Pandas DataFrame
Perform Data Cleaning
Perform Data Visualization
Visualize Qualitative Data
Explore Machine Learning Frameworks
Understand Supervised Machine Learning
Use machine learning to predict value of a house
Use Scikit-Learn
Load datasets
Make Predictions using machine learning
Understand Python Expressions and Statements
Understand Python Data Types and how to cast data types
Understand Python Variables and Data Structures
Understand Python Conditional Flow and Functions
Learn SQL with PostgreSQL
Perform SQL CRUD Operations on PostgreSQL Database
Filter and Sort Data using SQL
Understand Big Data Terminologies
A Data Scientist can work as the following:
data analyst.
machine learning engineer.
business analyst.
data engineer.
IT system analyst.
data analytics consultant.
digital marketing manager.
Who this course is for:
- Beginners to Data Science
- Beginners to Machine Learning
- Beginners to Python
- Beginners to SQL
Instructor
Welcome to the vibrant learning hub of Bluelime Learning Solutions! Based in the UK, we are dedicated to crafting high-quality, easily digestible eLearning experiences. With a robust following of over 776,000 students and backed by more than 43,000 reviews, we take pride in delivering educational content that not only enlightens but also empowers.
At Bluelime Learning Solutions, our approach is simple: clear, direct, and engaging. We specialize in 100% video-based courses filled with hands-on examples that provide practical skills applicable in real-world scenarios. Our courses are designed to translate complex concepts into easy-to-understand lessons that anyone, regardless of their background, can grasp and apply.
Our extensive experience includes collaborating on projects with Fortune 500 companies, equipping us with the insights needed to understand the essential skills that today’s employers value most. At Bluelime, we’re not just about teaching; we’re about equipping you with the tools and knowledge to excel in your career and personal growth endeavors.
Join us on this journey to unlock your potential and master new skills in an easy, enjoyable, and efficient way with Bluelime Learning Solutions, where learning is made simple and effective.